Energy Consumption Prediction for CNC Automatic Tool Changer

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Solution Overview

Problem

Current methods for predicting energy consumption in the automatic tool change process of numerical control machines are inaccurate due to the lack of comprehensive consideration of both steady state and transient state energy consumption, leading to inefficiencies in energy management.

Innovation Solution

A method that calculates energy consumption by determining rotary tool position numbers, measuring automatic tool change durations, establishing a calculation model for tool change duration, and accounting for basic module, steady state, and transient state energy consumptions using data fitting and power analysis to create an accurate energy consumption prediction model.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If only steady state energy consumption is considered in the tool change process, then the prediction model is simple, but the energy consumption prediction accuracy is low

Engineering Contradiction:
Improveenergy consumption prediction accuracyVSAvoidprediction model complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The tool change process is segmented into three distinct phases: initial state (tool holder stationary), transition state (tool holder rotating and tools changing), and final state (tool holder stationary at new position). Energy consumption is calculated separately for each phase using different models, allowing comprehensive accuracy while maintaining computational efficiency through modular structure.

Inventive Principle:
Principle #1Segmentation

2Loss of information

If the entire tool change process is analyzed as a single process, then the analysis is simple, but the energy consumption components cannot be distinguished

Engineering Contradiction:
Improveenergy consumption component distinctionVSAvoidanalysis complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The tool change process is divided into three sequential stages with distinct energy characteristics: initial state energy consumption (tool holder stationary), transition state energy consumption (tool holder rotating and tools changing), and final state energy consumption (tool holder stationary at new position). This segmentation preserves detailed energy component information while maintaining a manageable analytical structure.

Inventive Principle:
Principle #1Segmentation

3Measurement precision

If transient state power peaks are ignored, then the energy consumption calculation is simple, but the total energy consumption is inaccurate

Engineering Contradiction:
Improvetotal energy consumption accuracyVSAvoidcalculation model complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The transient state power peaks are identified and quantified before performing the final energy consumption calculation. By预先 determining the power peak characteristics during the transition state and incorporating them into the energy calculation formula, the method ensures accurate total energy consumption measurement while maintaining a systematic calculation approach.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS10691098B2Method of accurately predicting energy consumption of automatic tool change for multi-position rotary tool holder of numerical control machine
Publication Date: 2020.06.23 SHANDONG UNIV OF SCI & TECH
  • US10691098B2 patent drawing
  • US10691098B2 patent drawing
  • US10691098B2 patent drawing

AI summary

A method of accurately predicting energy consumption of an automatic tool change process is described. Automatic tool change durations at a plurality of groups of rotary tool position numbers are measured and a calculation model of the automatic tool change duration is obtained. A basic module power of machine is obtained. A basic module energy consumption of machine is obtained by calculation based on the basic module power of machine and the automatic tool change duration. A steady state power of tool changer is obtained. A steady state energy consumption of tool changer is calculated. A transient state energy consumption of tool changer is obtained by accumulating energy consumptions. An energy consumption prediction model of the automatic tool change process is obtained using the obtained basic module energy consumption of machine, the obtained steady state energy consumption of tool changer, and the obtained transient state energy consumption of tool changer.